This study was performed to demonstrate the relationship between different variables and prognosis in patients with paraplegia, and to realize a predictive model for anticipation of patients level at discharge by using the data obtained on admission. In 31 patients with paraplegia who were hospitalized and rehabilitated in our clinic, evaluation was done regarding the age, sex, etiology, duration of illness, bladder and rectum continence, deep pain, deep sensation and spasticity and Frankel, Yale and FIM scores were calculated. The correlation between these variables and FIM score values at discharge was searched. There was a high correlation between FIM score at discharge and Yale score on admission. FIM score on admission, and spasticity whereas a weak correlation was observed between FIM score at discharge and age, sex, etiology, duration of illness, bladder and rectum continence. Frankel score on admission, deep pain, and deep sensation. A regression equality was constructed by multiple regression analysis of the highly correlated variables. 'y', 'X1', 'X2' and 'X3' being representative of the predictive FM score of patient at discharge. Yale score of patient on admission, spasticity and FIM score of patient on admission, respectively, a regression equality of 'y = 47.73 + 3.16 X1 + 11.08 X2 + 0.45 X3' was constituted
